739 Open source projects that are alternatives of or similar to retailbox

recommender system tutorial with Python

A Comparative Framework for Multimodal Recommender Systems

RecDB is a recommendation engine built entirely inside PostgreSQL

Java-Based Context-aware Recommendation Library

a recommender engine node-js package for general use and easy to integrate.

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

Basic Movie Recommendation Web Application using user-item collaborative filtering.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

kNN-based next-basket recommendation

项亮的《推荐系统实践》的代码实现

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

Reinforced Recommendation toolkit built around pytorch 1.7

Best Practices on Recommendation Systems

RiVal recommender system evaluation toolkit

Building recommender systems in Julia

Some common recommendation system baseline, with description and link.

Examples of all Machine Learning Algorithm in Apache Spark

📖Notes and remarks on Machine Learning related papers

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

matrix factorization in PyTorch

content discovery... IN 3D

(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems

A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor

Hybrid Recommender System

A Python implementation of LightFM, a hybrid recommendation algorithm.

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

Recurrence the recommender paper with Tensorflow2.0

A TensorFlow recommendation algorithm and framework in Python.

🍃 Recommender System in JavaScript for the MovieLens Database

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

This repository contains some datasets that I have collected in Recommender Systems.

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Large scale training of factorization models for Collaborative Filtering with PyTorch

Recommender System Using Parallel Matrix Factorization

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

📊 A Recombee integration for Laravel

recommendation system with python

🍊 👎 Add-on for Orange3 to support recommender systems.

fastFM: A Library for Factorization Machines

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Fast Python Collaborative Filtering for Implicit Feedback Datasets

🌊 FluRS: A Python library for streaming recommendation algorithms

Recommendations for Ruby and Rails using collaborative filtering

An index of recommendation algorithms that are based on Graph Neural Networks.

LibRec: A Leading Java Library for Recommender Systems, see

Exposure Matrix Factorization: modeling user exposure in recommendation

Deep recommender models using PyTorch.

Machine learning for beginner(Data Science enthusiast)